Automatically recognizing rear light signals of front vehicles can significantly improve driving safety by automatic alarm and taking actions proactively to prevent collisions and accidents. Much previous research only focuses on the detection of brake signals at night. In this paper, we propose a novel and robust framework to detect rear lights of vehicles and estimate their signal states at daytime. Comparing with existing state-of-the-art works, our experimental results show the high detection rate and robustness of our system in complicated light conditions.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    On addressing driving inattentiveness: Robust rear light status classification using Hierarchical Matching Pursuit


    Beteiligte:
    Zhiyong Cui (Autor:in) / Shao-Wen Yang (Autor:in) / Chenqi Wang (Autor:in) / Hsin-Mu Tsai (Autor:in)


    Erscheinungsdatum :

    01.10.2014


    Format / Umfang :

    382246 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    INATTENTIVENESS DETERMINATION DEVICE AND INATTENTIVENESS DETERMINATION METHOD

    HOSHINA YUMI / KUMAGAI TARO | Europäisches Patentamt | 2023

    Freier Zugriff


    INATTENTIVENESS/OVERLOOKING REMINDING SYSTEM AND COMPUTER PROGRAM

    MUNEOKA YUTAKA | Europäisches Patentamt | 2017

    Freier Zugriff

    SYSTEM AND METHOD FOR MONITORING DRIVER INATTENTIVENESS USING PHYSIOLOGICAL FACTORS

    KAPURIA ANUJ / VIJAY RITUKAR | Europäisches Patentamt | 2020

    Freier Zugriff

    Robust Rear Light Status Recognition Using Symmetrical SURFs

    Chen, Li-Chih / Hsieh, Jun-Wei / Cheng, Shyi-Chy et al. | IEEE | 2015